In Faster R-CNN [1]}, Ren et. al. ran the full image through the CNN only once, and they only use features in top layer in each bounding box patch for object detection. They further proposed a region proposal network (RPN) that learns how to generate bounding box proposals by looking at the top layer features. This new algorithm achieves 76% accuracy and
an average speed of 100 milliseconds per image.
